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Bruno MCP

by hungthai1401
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Bruno MCP 服务器

铁匠徽章

一个支持运行 Bruno 集合的 MCP（模型上下文协议）服务器。该服务器允许 LLM 使用 Bruno 执行 API 测试，并通过标准化接口获取详细结果。

特征

  • 使用 Bruno CLI 运行 Bruno 集合

  • 支持环境文件

  • 支持环境变量

  • 详细测试结果包括：

    • 总体成功/失败状态

    • 测试摘要（总计、通过、未通过）

    • 详细故障信息

    • 执行时间

Related MCP server: bruno-mcp

安装

通过 Smithery 安装

要通过Smithery自动为 Claude Desktop 安装 Bruno MCP Server：

npx -y @smithery/cli install @hungthai1401/bruno-mcp --client claude

手动安装

# Install dependencies
npm install

# Build the project
npm run build

配置

将服务器添加到您的 Claude 桌面配置文件~/Library/Application Support/Claude/claude_desktop_config.json ：

{
  "mcpServers": {
    "bruno-runner": {
      "command": "npx",
      "args": ["-y", "bruno-mcp"],
    }
  }
}

可用工具

运行收集

运行 Bruno 集合并返回测试结果。

参数：

  • collection （必填）：Bruno collection 的路径

  • environment （可选）：环境文件的路径

  • variables （可选）：环境变量作为键值对

响应示例：

{
  "success": true,
  "summary": {
    "total": 5,
    "failed": 0,
    "passed": 5
  },
  "failures": [],
  "timings": {
    "started": "2024-03-14T10:00:00.000Z",
    "completed": "2024-03-14T10:00:01.000Z",
    "duration": 1000
  }
}

Claude 中的示例用法

您可以通过要求 Claude 中的服务器运行 Bruno 集合来使用它：

“在 /path/to/collection.bru 运行 Bruno 集合并告诉我所有测试是否通过”

克劳德将：

  1. 使用运行收集工具

  2. 分析测试结果

  3. 提供人性化的执行摘要

发展

项目结构

src/
  ├── index.ts           # Entry point
  ├── server.ts          # MCP Server implementation
  ├── runner.ts          # Bruno runner implementation
  └── types.ts           # Type definitions

运行测试

# Run tests
npm test

# Run tests with coverage
npm test:coverage

建筑

# Build the project
npm run build

# Clean build artifacts
npm run clean

执照

麻省理工学院

Available Tools

1 tool
run-collectionC

Run a Bruno Collection using Bruno CLI

ParametersJSON Schema
NameRequiredDescriptionDefault
collectionYesPath to the Bruno collection
environmentNoOptional path to environment file
variablesNoOptional environment variables

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'Run' which implies execution, but fails to describe critical behaviors like whether it's read-only/destructive, requires specific permissions, has side effects (e.g., file changes), or handles errors. This leaves significant gaps for an execution tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words. It's appropriately sized and front-loaded, clearly stating the core action without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of running a collection (an execution tool with potential side effects), no annotations, and no output schema, the description is incomplete. It lacks details on behavior, output format, error handling, or dependencies, making it inadequate for safe and effective use by an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, so the schema already documents all parameters (collection path, optional environment file, optional variables). The description adds no additional meaning beyond what the schema provides, such as format examples or usage context, meeting the baseline for high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Run') and resource ('a Bruno Collection using Bruno CLI'), making the purpose understandable. However, it doesn't differentiate from siblings since there are none, so it can't achieve the full 5 points for sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool, such as prerequisites (e.g., Bruno CLI installation), alternatives, or specific contexts. It only states what the tool does without usage instructions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedrun-collection
Deploy Server
Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

B3/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools. The tool 'run-collection' has a single, clearly defined purpose that cannot be misselected against other tools.

Naming Consistency5/5

Since there is only one tool, naming consistency is inherently perfect. The tool name 'run-collection' follows a verb-noun pattern, and there are no other tools to compare it against for inconsistency.

Tool Count2/5

A single tool is generally too few for most server purposes, as it limits functionality and may indicate an incomplete or overly narrow scope. While it could be appropriate for a very specific task, it often feels thin and lacks the breadth needed for typical agent workflows.

Completeness1/5

With only one tool, the surface is severely incomplete. There are obvious gaps, such as the inability to create, list, update, or delete collections, which are typical operations in a collection management domain. This will likely cause agent failures when trying to perform basic tasks beyond running a collection.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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